Innovative Reference Validation and Source Recommendation Module for Academic Research Akademik Arastirmalar i in Yenilik i Referans Dogrulama ve Kaynak neri Mod l

Incebay R., ÇETİN A.

2025 Innovations in Intelligent Systems and Applications Conference, ASYU 2025, Bursa, Türkiye, 10 - 12 Eylül 2025, (Tam Metin Bildiri) identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/asyu67174.2025.11208255
  • Basıldığı Şehir: Bursa
  • Basıldığı Ülke: Türkiye
  • Anahtar Kelimeler: academic references, API integration, artificial intelligence, data accuracy, GROBID, literature review, natural language processing, Reference validation, source recommendation
  • Gazi Üniversitesi Adresli: Evet

Özet

This study presents the development of an innovative reference validation and source recommendation module aimed at enhancing the accuracy and reliability of academic references. Accurate referencing is a critical aspect of modern academic research, as it ensures the credibility of sources and supports the scientific integrity of scholarly work. However, the rapid growth of digital content and the prevalence of misinformation on the internet make it challenging for researchers to identify trustworthy sources. In this context, the developed module is designed to validate both text and PDFbased references, identify missing or erroneous information, and provide alternative source recommendations. The system utilizes GROBID-based PDF parsing, natural language processing (NLP), CrossRef, and other external API integrations to assess the content and format accuracy of references. It aims to facilitate fast, accurate, and reliable access to YÜKSEK-quality information by providing real-time data and comprehensive source verification. Additionally, the module supports a wide range of sources, offering a robust solution for improving the reliability and transparency of academic work.